Results 121 to 130 of about 30,783 (304)

Metabolic feature profiling and metabolic vulnerability in acute lymphoblastic leukemia

open access: yesInterdisciplinary Medicine, EarlyView.
For the first time, our study develops a novel metabolic classification and subtyping program, metabolic reprogramming‐based classifier for acute lymphoblastic leukemia, using internal PDT‐ALL‐2016 and external cohorts, which dissects metabolic profiling, clinical outcome, and therapeutic vulnerability for precision metabolic intervention in ALL ...
Xiaojie Liang   +13 more
wiley   +1 more source

Population Development of the Rhine-Neckar Metropolitan Area:
A Stochastic Population Forecast on the Basis of Functional Data Analysis

open access: yesComparative Population Studies, 2012
Stochastic population forecasts are gaining popularity in these times of demographic change, as compared with the scenario technique frequently used for projections, they provide important additional information: the forecasted population lies within a ...
Philipp Deschermeier
doaj  

Guaranteed Annuity Option Under Correlated and Regime-Switching Risks

open access: yesRisks
Guaranteed annuity options (GAOs) allow policyholders to convert accumulated funds into life annuities at maturity at a guaranteed minimum rate. Thus, insurers are exposed to both investment and longevity risks.
Jude Martin B. Grozen, Rogemar S. Mamon
doaj   +1 more source

Life is Cheap: Using Mortality Bonds to Hedge Aggregate Mortality Risk [PDF]

open access: yes
Using the widely-cited Lee-Carter mortality model, we quantify aggregate mortality risk as the risk that the average annuitant lives longer than is predicted by the model, and we conclude that annuity business exposes insurance companies to substantial ...
Leora Friedberg, Anthony Webb
core  

Bayesian Model Averaging in Causal Instrumental Variable Models

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley   +1 more source

Modeling Mortality: Empirical Studies on the Effect of Mortality on Annuity Markets.

open access: yes
Chapter 3 of the dissertation models the macro-longevity risk and introduces a stochastic model for human mortality rates. Chapter 4 analyzes the importance of mortality improvement and mortality risk (macro- and micro-longevity risk and parameter ...
Hari, N.
core  

Debilitation's Aftermath: Stochastic Process Models of Mortality

open access: yes, 1986
The paper is devoted to the analysis of stochastic process models of mortality which can explain both selection and debilitation processes in the evolution of cohort mortality. The relative importance of each process is analyzed.
Vaupel, J.W., Manton, K.G., Yashin, A.I.
core  

Random Chemostats with Competition and Different Kinetics to Investigate the Growth of the Gut Microbiome

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We investigate some chemostat models incorporating wall growth, competition, random fluctuations on the dilution rate, and different consumption functions (Monod and Haldane). We analyze the asymptotic behavior of the solutions of the corresponding random differential systems to establish conditions on the model parameters under which the ...
Javier López‐de‐la‐Cruz   +2 more
wiley   +1 more source

Prediction of in-hospital mortality risk for patients with acute ST-elevation myocardial infarction after primary PCI based on predictors selected by GRACE score and two feature selection methods

open access: yesFrontiers in Cardiovascular Medicine
IntroductionAccurate in-hospital mortality prediction following percutaneous coronary intervention (PCI) is crucial for clinical decision-making. Machine Learning (ML) and Data Mining methods have shown promise in improving medical prognosis accuracy ...
Nan Tang   +8 more
doaj   +1 more source

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